Seminar for Applied Mathematics

output

19992022

most citedSolving high-dimensional partial differential equations using deep learning

1.8k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

Arnulf Jentzen2 profiles35 · h 49
C. Schwab16 · h 77
Siddhartha Mishra13 · h 52
Martin Hutzenthaler2 profiles8 · h 27
P. Grohs7 · h 35
C. Marcati6 · h 9
Primož Pušnik2 profiles6 · h 3
S. Lanthaler6 · h 22
J. Melenk5 · h 35
Rima Alaifari5 · h 14
R. Käppeli2 profiles5 · h 9
R. Kurniawan5 · h 8

collaborating institutions

ETH ZurichCH99 papers
University of MünsterDE18 papers
University of PaviaIT9 papers
University of ViennaAT9 papers
University of Duisburg-EssenDE7 papers
Chinese University of Hong Kong, ShenzhenCN6 papers
Shenzhen Research Institute of Big DataCN6 papers
University of Maryland, College ParkUS6 papers
Princeton UniversityUS5 papers
TU WienAT5 papers
Austrian Academy of SciencesAT4 papers
Chalmers University of TechnologySE4 papers

Showing 2019 · physics.comp-phShow all

1 paper · 2 filters

physics.comp-ph2019★ 167 cited

Deep learning observables in computational fluid dynamics

Kjetil O. Lye, Siddhartha Mishra, Deep Ray

Many large scale problems in computational fluid dynamics such as uncertainty quantification, Bayesian inversion, data assimilation and PDE constrained optimization are considered…